Abstract: A method of controlling a digital television, the method includes displaying content or application being executed on a display screen of the digital television, receiving a first signal requesting a menu to be displayed, and displaying the requested menu, overlaid on the display screen, wherein the menu includes a first part and a second part, wherein the first part displays at least one menu item corresponding to previously displayed content or previously executed application, and wherein the second part displays at least one menu item corresponding to content or an application executable in the digital television.

Abstract: Systems and methods are provided for performing data mining and statistical learning techniques on a big data set. More specifically, systems and methods are provided for linear regression using safe screening techniques. Techniques may include receiving a plurality of time series included in a prediction hierarchy for performing statistical learning to develop an improved prediction hierarchy. It may include pre-processing data associated with each of the plurality of time series, wherein the pre-processing includes tasks performed in parallel using a grid-enabled computing environment. For each time series, the system may determine a classification for the individual time series, a pattern group for the individual time series, and a level of the prediction hierarchy at which the each individual time series comprises an need output amount greater than a threshold amount.

Abstract: Methods and systems for characterizing a subterranean formation using nuclear magnetic resonance (NMR) measurements are described herein. One method includes locating a downhole logging tool in a wellbore that traverses the subterranean formation, and performing NMR measurements to obtain NMR data for a region of the subterranean formation. The NMR data is processed by employing sparse Bayesian learning (SBL) to determine a multi-dimensional property distribution of the NMR data (e.g., T1-T2, D-T2, and D-T1-T2 distributions). The sparse Bayesian learning can utilize Bayesian inference that involves a prior over a vector of basis coefficients governed by a set of hyperparameters, one associated with each basis coefficient, whose most probable values are iteratively estimated from the NMR data. The sparse Bayesian learning can achieve sparsity because posterior distributions of many of such basis coefficients are sharply peaked around zero.

Abstract: A technique includes receiving data acquired by an acoustic measurement tool in a well, where the data represents multiple acoustic modes, including a first order formation flexural acoustic mode and a higher order formation flexural acoustic mode. The technique includes processing the data to identify the higher order formation flexural acoustic mode; and determining a shear slowness based at least in part on slowness values that are associated with the identified higher order formation flexural acoustic mode.

Abstract: A technique includes receiving data representing time domain waveforms acquired by receivers of a drilling string-disposed acoustic measurement tool in response to energy emitted by at least one dipole source of the tool. The technique includes processing the data to determine slowness values associated with a plurality of acoustic modes, including a formation flexural acoustic mode and a tool flexural acoustic mode. The technique includes identifying slowness-frequency pairs from the slowness values and determining a shear slowness based at least in part on the identified slowness-frequency pairs.

Abstract: Disclosed are methods, system, and computer program products useful for generating summary statistics for data predictions based on the aggregation of data from past time intervals. Summary statistics such as prediction standard errors, variances, confidence limits, and other statistical measures, may be generated in a way that preserves the basic distributional properties of the original data sets, to allow, for example, a reduction of the multiple data sets through the aggregation process, which may be useful for a prediction process, while determining statistical information for the predicted data.

Abstract: A modeling system and modeling method based on a logical relation, including an operation task integrating module, a task interpreter, a graph layout correcting module, a graph wiring correcting module and a database model increment correcting module, wherein the database model increment correcting module includes a graph increment calculating unit and a model increment calculating unit. The system, through description of the logical relation and based on support of the automatic wiring technology, realizes the graph-model integrated generation of a new grid model of the power system which is based on the description of the logical relation; the grid model is completely defined and modified on “one net”, which is different from the original way that the power system model is established on countless net graphs, thereby helping the grid operation manager to accurately and rapidly establish and modify the grid model of the full system.

Abstract: An embodiment is a structure comprising a die having a pad on a surface and an encapsulant at least laterally encapsulating the die. The pad is exposed through the encapsulant. The structure further includes a first dielectric layer over the encapsulant and the die, a first conductive pattern over the first dielectric layer, and a second dielectric layer over the first conductive pattern and the first dielectric layer. The first dielectric layer and the second dielectric layer have a first opening to the pad of the die. The structure further includes a second conductive pattern over the second dielectric layer and in the first opening. The second conductive pattern adjoins a sidewall of the first dielectric layer in the first opening and a sidewall of the second dielectric layer in the first opening.

Abstract: An apparatus is provided for extracting slowness dispersion characteristics of sonic wave forms in broadband acoustic waves received by multiple sensors including means to digitize the sonic wave forms to form discrete time wave forms and converting the discrete time wave forms into frequency domain wave forms and means to divide a processing band of the wave forms into frequency sub-bands. For each sub-band approximating a family of candidate dispersion curves for multiple modes, parameterizing each of the curves by phase and group slowness, and forming a frequency dependent over-complete dictionary of basis elements, each corresponding to a pair of phase and group slownesses. In addition, forming multiple measurement vectors from the frequency domain data and implementing a sparse Bayesian learning (SBL) algorithm on the vectors with a block sparse signal model and outputting the results. Also, a means for generating a fmal dispersion curve.

Abstract: An embodiment is a structure comprising a die having a pad on a surface and an encapsulant at least laterally encapsulating the die. The pad is exposed through the encapsulant. The structure further includes a first dielectric layer over the encapsulant and the die, a first conductive pattern over the first dielectric layer, and a second dielectric layer over the first conductive pattern and the first dielectric layer. The first dielectric layer and the second dielectric layer have a first opening to the pad of the die. The structure further includes a second conductive pattern over the second dielectric layer and in the first opening. The second conductive pattern adjoins a sidewall of the first dielectric layer in the first opening and a sidewall of the second dielectric layer in the first opening.

Abstract: The disclosure relates to a method and system for audio/video communication, and a client. The method includes setting up a connection with a server for audio/video communication, opening multiple windows for the audio/video communication; obtaining an enabling instruction for enabling audio/video communication of any one of the windows for audio/video communication amongst the multiple windows for audio/video communication; disabling audio/video communication for other windows for audio/video communication amongst the multiple windows for audio/video communication according to the enabling instruction.

Abstract: An embodiment is a structure comprising a die having a pad on a surface and an encapsulant at least laterally encapsulating the die. The pad is exposed through the encapsulant. The structure further includes a first dielectric layer over the encapsulant and the die, a first conductive pattern over the first dielectric layer, and a second dielectric layer over the first conductive pattern and the first dielectric layer. The first dielectric layer and the second dielectric layer have a first opening to the pad of the die. The structure further includes a second conductive pattern over the second dielectric layer and in the first opening. The second conductive pattern adjoins a sidewall of the first dielectric layer in the first opening and a sidewall of the second dielectric layer in the first opening.

Abstract: Systems and methods for linear regression using safe screening techniques. A computing system may receive a plurality of time series included in a forecast hierarchy. For each time series, the computing system may determine a classification for the individual time series, a pattern group for the individual time series, and a level of the forecast hierarchy at which the each individual time series comprises an aggregate demand volume greater than a threshold amount. The computing system may generate an additional forecast hierarchy using the first forecast hierarchy, the classification, the pattern group, and the level. The computing system may provide, to the user of the system, forecast information related to at least one time series based on the additional forecast hierarchy.

Abstract: Various embodiment(s) of a digital device and a method for controlling the same are disclosed in this specification. Herein, the method for controlling a digital device according to an exemplary embodiment of the present invention may include f receiving a signal requesting for outputting a recommended content page, receiving recommended content page data of a most recently update version from a cloud server, and displaying the recommended content page received from the cloud server, wherein the recommended content page may include a first window including broadcast content information and a second window including VOD content information, and wherein the first window and the second window may include thumbnail images of each content.

Abstract: A technique for verifying the consistency of slice allocation metadata includes accessing, from user space of an operating system running on the data storage apparatus, a set of drivers running in kernel space of the operating system to obtain slice allocation metadata from the set of drivers, and identifying discrepancies in slice allocation metadata returned from the set of drivers on a per-file-system basis.